Postgraduate Certificate in Data Science
Data science holds the key to the future in the contemporary corporate world. In fact, it helps companies to make smarter decisions, to predict information and to enhance the quality of products.
A data science qualification will arm you with the knowledge to manipulate data sets and create visual representations to communicate results efficiently.
You will be taught by experts who have industry experience and will make use of real-life case studies to enhance your learning experience.
The Postgraduate Certificate in Data Science is made up of four modules:
Data Science: Principles, Tools and Best Practices
This module will investigate what data science is and will cover common terminology such as ‘big data,’ ‘data mining’ and ‘curation of data.’
Data Processing and Analytics
Every time we type a text message, post a photo on social media, order a parcel or a taxi online we generate data businesses rely on. This module will teach learners how data can be harnessed, examined, analysed and put forward effective visualisations.
Data Visualisation and Communication
A data analyst, scientist or engineer nowadays should be capable of mining data and recognising patterns within them and revealing insights. By the end of the module, you will be able to produce visual outputs including various types of graphs that not only communicate clearly but also stimulate viewer engagement and attention.
Predictive Analytics and Machine Learning
On this module, learners can expect an overview of the mathematical foundations of machine learning and its workflow. You will also learn about predictive analysis as this is the basis of machine learning.
Cybersecurity Essentials for Data Scientists
Data scientists must ensure their organisation’s data and networks remain protected. This module will provide you with contemporary knowledge regarding security threats facing organisational networks and emerging technologies
Data scientists are needed across many sectors, ranging from finance and government to science.
General mathematical background. Notions of statistics, probabilities and algebra.
Basic understanding of computations Optional: familiarity with coding (python or R) Optional: Professional experience in management, finance, IT or other
Fluency in English
Personal Computer with minimum:
Intel Atom® processor or Intel® Core™ i3 processor
4GB Disk space
Operating systems: Windows* 7, macOS, Linux
*This course is planned to run in September. However, it is subject to student demand. For more information, speak to one of our advisors on: +44 (0) 20 3435 4644.